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Data & statistics

General

Awards & Funding

Grant co-author: University of Zurich, $25,000

Grant co-author: Army Research Lab, $40,000

Teaching commendation: University of Utah

More info

See full CV on my website.

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Last updated on 2020-04-13.

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Ian Ruginski

Interdisciplinary researcher with a PhD in psychology and 6+ years of quantitative and qualitative research experience. I utilize theory-driven behavioral experiments to improve human-computer interaction in the application areas of virtual navigation, mobile navigation systems, and data visualization.

I have coauthored many peer-reviewed scientific articles and taught and developed R learning materials for PhD level social-science statistics classes.

Education

PhD. Psychology, Cognition & Neural Science area

University of Utah

Salt Lake City, UT

2018 - 2013

  • Conducted and published research on data visualization design, navigation in real and virtual environments, & effects of emotions on perception and navigation.
  • Dissertation: Mobility for spatial cognition and navigation - Establishing construct validity and testing a novel model of individual differences in spatial cognition

B.A., Cognitive Science, Religious Studies

Vassar College

Poughkeepsie, NY

2013 - 2009

Research Experience

Postdoctoral Fellow

Geographic Information and Visualization Group

University of Zurich

2020 - 2019

  • Developed and analyzed behavioral studies to evaluate digital displays and maps, including using eye-tracking, biometric, and questionnaire data.
  • Managed multiple projects while advising M.S. and Ph.D students.

Postdoctoral Fellow

Spatial Cognition & Navigation Project

University of Utah

2019 - 2018

  • Go-to statistician on multiple projects; researched combined effects of culture and behavior on navigation and spatial memory.
  • Data wrangling, analysis, and visualization for database across 6 international fieldsites in the U.S., Africa, and South America.

Data Science Fellow

Sorenson Impact Center

Salt Lake City, UT

2018 - 2017

  • Worked on public and private sector projects implementing impact measurement.
  • Provided customized data diagnostics, visualizations, and reports for clients.
  • Learned and implemented best practices around data security and version control.

Teaching Experience

Graduate Teaching Assistant

University of Utah

Salt Lake City, UT

2018 - 2013

  • TA & lecturer for Graduate Quantitative Methods I & II, Structural Equation Modeling.
  • Taught graduate students data processing, analysis, and interpretation pipeline in R.
  • Topics included multilevel models, causal inference, measurement, generalized linear modeling, & time-based models.

Department Statistical Consultant

University of Utah

Salt Lake City, UT

2018 - 2017

  • Consulted for statistical & code problems on a case by case basis.